docstr: overwrite parent classes `_produce_predict_output` method
docstr_tok: ["overwrite","parent","classes","`","_produce_predict_output","`","method"]
code: def _produce_predict_output(
      self, x: Tuple, last_hidden_state: Optional[torch.Tensor] = None
  ) -> Tuple[torch.Tensor, torch.Tensor]:
      """overwrite parent classes `_produce_predict_output` method"""
      output, hidden = self(x, last_hidden_state)
      if self.likelihood:
          if self.predict_likelihood_parameters:
              return (
                  self.likelihood.predict_likelihood_parameters(output),
                  hidden,
              )
          else:
              return self.likelihood.sample(output), hidden
      else:
          return output.squeeze(dim=-1), hidden
  
imports: import inspect
  from abc import ABC, abstractmethod
  from typing import Optional, Sequence, Tuple, Type, Union
  import torch
  import torch.nn
  from darts.logging import get_logger, raise_if_not, raise_log
  from darts.models.forecasting.pl_forecasting_module import PLDualCovariatesModule, io_processor
  from darts.models.forecasting.torch_forecasting_model import DualCovariatesTorchModel
  from darts.timeseries import TimeSeries
  from darts.utils.data import DualCovariatesShiftedDataset, TrainingDataset
label_desc: Use image node_id 4 for calling the CustomRNNModule obj's underlying member method code with example usage: obj._produce_predict_output(x, last_hidden_state) and returns: output,  hidden, self,  hidden, self,  hidden